Ville Lehtola, Shayan Nikoohemat (UT Post Doc, Kaios)
Advanced image analysis, Laser scanning 201800310, Positioning and Imaging Technology 201700167, Programming courses (python)
Students should have suitable programming skills (Python/c++). The research is done in collaboration with a company, Kaios. Internship options can be discussed.
Roads are important assets for the society, and the public sector is responsible for their upkeep. To make the road management more effective, mobile mapping data (LIDAR, RGB) is gathered and then processed to obtain the current condition of the scanned roads. However, the processing part has several challenges. Therefore, this topic is focused on the detection and classification of road markings and the road condition (e.g. unevenness, notable potholes or cracks). The data set will be available for the student in August for the detailed development of the proposal. This MSc research is done in collaboration with a company, Kaois. Internship option is available.
Machine/deep learning approaches for sensor fusion, object detection, object classification, and object localization methods applied on RGB images and 3D point clouds